Data Engineering Services Built for the Decisions Ahead
Embed nearshore data engineering teams that turn disconnected systems into AI-ready foundations. We reduce reporting friction, cut manual work and ship data infrastructure that scales with your roadmap.
Next starts here.
Trusted by engineering teams in Financial Services, Healthcare, Media & Publishing, Hi-Tech, Energy & Utilities, and Non-Profit organizations.
Trusted by
When Data Stalls,
Decisions Slip
Disconnected systems make companies five times slower than the competition. Reports take days to assemble. Models train on stale snapshots. Audits surface gaps that should have been governed at the pipeline. Your team is doing the right work on the wrong foundation.
Data is no longer about dashboards. It is the operating layer for the next decade of decisions. We help finance, healthcare and media teams build that layer end to end, so the next AI use case ships in weeks instead of quarters.
What We Offer
in Data
Four ways we help your team turn raw data into a working asset.
Data Engineering Services
We build the pipelines, lakehouses and integrations that move data from where it is created to where it gets used. Streaming and batch, on Snowflake, Databricks, BigQuery or Redshift. We design for cost, latency and audit-readiness from day one.
Best when you need a production data platform, a migration off legacy ETL or a team that owns delivery end to end.
Data Modernization Services
We move teams off brittle data stacks and onto modern cloud data warehouses without breaking what works. Phased migrations, parallel runs, data quality gates at every cutover. The business keeps reporting. The platform improves underneath it.
Best when you need cloud data warehouse migration, ETL pipeline development or a way out of vendor lock-in.
Data Governance Strategy
We design the controls, lineage and access policies that keep regulated data usable. Audit-ready data pipelines for financial services. HIPAA-aligned data flows for healthcare. Privacy controls that hold up under SOC 2.
Best when you need compliance under audit, a data governance framework or fraud detection analytics built on trusted inputs.
Snowflake Data Engineering
We are Snowflake-fluent. Warehouse design, role-based access, performance tuning and native app development. We embed inside your Snowflake practice or stand it up from zero.
How Our Data Engineering
Services Work
Step 01
Diagnose
We map the current state of your data stack, identify the highest-cost frictions and align on the decisions your data needs to support. The output is a remediation plan with effort, risk and ROI estimates per workstream.
Step 02
Build
Our nearshore team embeds yours. We build pipelines, modernize warehouses, ship governance controls and integrate AI use cases. We work in your sprints, against your priorities, with your tools.
Step 03
Sustain
We stay long enough to transfer ownership cleanly. Documentation, runbooks, on-call playbooks and training. Our teams stop being a vendor and start being part of your platform team.
Our teams stop being a vendor and start being part of your platform team.
Industries We Serve
Our data teams work across six sectors. The pattern that works in one informs how we build for the next.
Financial Services
Audit-ready data pipelines, fraud detection analytics and risk reporting infrastructure for banks, insurers and fintechs. We build to the standard regulators expect.
Healthcare
HIPAA-aligned data flows, clinical analytics platforms and patient data integration. We treat PHI with the controls the data deserves.
Media & Publishing
Content analytics, audience data platforms and recommendation infrastructure. We turn engagement signals into editorial decisions.
Hi-Tech
Product analytics, customer data platforms and ML feature stores. We build the data layer that product teams ship features against.
Energy & Utilities
Sensor data pipelines, grid analytics and predictive maintenance models. We handle the volume and the regulated reporting that comes with it.
Non-Profit
Donor analytics, program impact measurement and grant reporting infrastructure. We stretch every dollar of data spent.
Four Ways to Work
with Our Data Teams
Pick the model that matches your stage.
Outcomes
We own a defined business outcome end-to-end discovery, build, and release.
Teams
A self-managed nearshore agile pod, embedded inside your engineering org. We bring the team; you bring the product context.
Capacity
Senior engineers and agile coaches added to your existing teams. You manage; we strengthen.
Managed Services
We run the operation end-to-end delivery, support, and continuous improvement; under defined SLAs.
Why Financial Institutions Stay With Us
The Nearshore Advantage
That Delivers Results
We combine the cost benefits of offshore with the collaboration ease of onshore.
Our teams across the Americas corridor work in your timezone, speak your language, and understand your culture.
Timezone Collaboration
Work with teams who share your working hours. No late-night calls or delayed responses.
Rapid Team Assembly
Get your dedicated team up and running in 2–4 weeks, not months. We match talent to your specific needs.
Enterprise Quality
Our engineers are rigorously vetted and trained in best practices used by Fortune 500 companies.
Scalable Solutions
Start small and scale up seamlessly. Our flexible engagement models adapt to your changing needs.
Cultural Alignment
Strong cultural affinity with US business practices ensures smooth communication and collaboration.
24/7 Operations
Your success is our priority. Get dedicated account management and 24/7 operations when you need it.
Verified Reviews
Average Review Rating
Recognition
Inc. 5000
Fastest Growing Companies
10 time recipient
Portland's Fastest Growing
Portland Business Journal
10 years in a row
Clutch
Top 5 Nearshore Software Developers in Mexico
2025
Partners
AWS Partner Network
Amazon Web Services
Databricks Partner
Data + AI Platform
Ready to Turn Disconnected Data into Decisions?
Tell us about your data stack. We will tell you in thirty minutes what we would do differently.
What are data engineering services?
Data engineering services are the design, build and operation of the systems that move data from where it is created to where it gets used. This includes pipelines, data warehouses, lakehouses, integrations and the governance controls that keep all of it audit-ready. At unosquare we deliver data engineering services through dedicated nearshore teams that embed in your sprints and ship in your stack.
Why does data governance strategy matter for financial services and healthcare?
Both sectors face audit regimes that expect lineage, access control and reproducibility at the pipeline level. A data governance strategy bakes these controls into how data moves, not as a layer on top. For financial services this means audit-ready data pipelines that SOX, PCI and SOC 2 examiners can trace. For healthcare it means HIPAA-aligned flows where PHI is governed from ingestion to insight.
Do you specialize in Snowflake data engineering or do you work across cloud data warehouses?
Both. Our engineers are Snowflake-fluent and we ship Snowflake-native solutions including warehouse design, dbt orchestration and native apps. We also build on Databricks, BigQuery and Redshift. We pick the platform that fits the use case, not the other way around.
Can your data team work with our existing data engineers, or do you replace them?
We embed. Our nearshore teams plug into your existing data practice, work against your priorities and use your tools. We add capacity, specialist depth in Snowflake, dbt and governance or both. When the engagement ends, your team owns the platform and the documentation we built it with.
Next Starts Here.
Talk to an unosquare agile specialist. We'll diagnose one friction point in your current delivery and tell you exactly what we'd do about it.